Review





Similar Products

custom-developed algorithms  (MathWorks Inc)
90
MathWorks Inc custom-developed algorithms
Custom Developed Algorithms, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/custom-developed algorithms/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
custom-developed algorithms - by Bioz Stars, 2026-03
90/100 stars
  Buy from Supplier
custom-developed matlab algorithms  (MathWorks Inc)
90
MathWorks Inc custom-developed matlab algorithms
EC-Confetti mice treated with d-flow and hypercholesterolemia at 4 weeks post-PCL (N=6 male and 15 female) were imaged macroscopically ( A ) and LCAs/RCAs were longitudinally sectioned, stained, imaged by fluorescence microscopy ( B-R ), and quantified ( S-V ). A shows representative gross image of LCA, RCA, and aortic arch. B-R . LCAs and RCAs were immunostained with markers of endothelial inflammation (Vcam1 and Icam1, B-D ); EndMT (Acta2, Snai1, and Cnn1, E-H ); EndIT (Cd68, C1qa, C1qb, and Lyz2, I-M ); and EndFT (Spp1, Lgals3, Trem2, and BODIPY, N-R ). B, E, I, and N show merged images of confetti and FIRE markers at low magnification (10X), while the rest show 40X images. Confetti signals show eGFP (green), YFP (green), and RFP (red). All FIRE markers are shown in white except for green BODIPY ( R ). White arrows indicate confetti + ECs co-expressing the FIRE markers. S-V. Percent confetti + ECs co-expressing each FIRE marker was quantified by a combined <t>Matlab</t> and ImageJ analysis. Confetti + ECs expressing markers of inflammation (Icam1 and Vcam1, S ); EndMT (Acta2, Cnn1, and Snai1, T ); EndIT (C1qa, C1qb, Lyz2, and Cd68, U ); and EndFT (Lgals3, Trem2, and Spp1, V ). Shown are mean ± SEM, each dot represents % of confetti + ECs coexpressing FIRE markers in each longitudinal section used for quantification (N=4 to 10 longitudinal sections for RCA; N=6 to 31 longitudinal sections for LCA). P values were calculated by 2-tailed unpaired Student t test with or without Welch’s correction for normal data and 2-tailed unpaired Mann-Whitney U test for non-normal data.
Custom Developed Matlab Algorithms, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/custom-developed matlab algorithms/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
custom-developed matlab algorithms - by Bioz Stars, 2026-03
90/100 stars
  Buy from Supplier
custom-developed algorithm  (MathWorks Inc)
90
MathWorks Inc custom-developed algorithm
EC-Confetti mice treated with d-flow and hypercholesterolemia at 4 weeks post-PCL (N=6 male and 15 female) were imaged macroscopically ( A ) and LCAs/RCAs were longitudinally sectioned, stained, imaged by fluorescence microscopy ( B-R ), and quantified ( S-V ). A shows representative gross image of LCA, RCA, and aortic arch. B-R . LCAs and RCAs were immunostained with markers of endothelial inflammation (Vcam1 and Icam1, B-D ); EndMT (Acta2, Snai1, and Cnn1, E-H ); EndIT (Cd68, C1qa, C1qb, and Lyz2, I-M ); and EndFT (Spp1, Lgals3, Trem2, and BODIPY, N-R ). B, E, I, and N show merged images of confetti and FIRE markers at low magnification (10X), while the rest show 40X images. Confetti signals show eGFP (green), YFP (green), and RFP (red). All FIRE markers are shown in white except for green BODIPY ( R ). White arrows indicate confetti + ECs co-expressing the FIRE markers. S-V. Percent confetti + ECs co-expressing each FIRE marker was quantified by a combined <t>Matlab</t> and ImageJ analysis. Confetti + ECs expressing markers of inflammation (Icam1 and Vcam1, S ); EndMT (Acta2, Cnn1, and Snai1, T ); EndIT (C1qa, C1qb, Lyz2, and Cd68, U ); and EndFT (Lgals3, Trem2, and Spp1, V ). Shown are mean ± SEM, each dot represents % of confetti + ECs coexpressing FIRE markers in each longitudinal section used for quantification (N=4 to 10 longitudinal sections for RCA; N=6 to 31 longitudinal sections for LCA). P values were calculated by 2-tailed unpaired Student t test with or without Welch’s correction for normal data and 2-tailed unpaired Mann-Whitney U test for non-normal data.
Custom Developed Algorithm, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/custom-developed algorithm/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
custom-developed algorithm - by Bioz Stars, 2026-03
90/100 stars
  Buy from Supplier
custom algorithm developed r2023b  (MathWorks Inc)
90
MathWorks Inc custom algorithm developed r2023b
EC-Confetti mice treated with d-flow and hypercholesterolemia at 4 weeks post-PCL (N=6 male and 15 female) were imaged macroscopically ( A ) and LCAs/RCAs were longitudinally sectioned, stained, imaged by fluorescence microscopy ( B-R ), and quantified ( S-V ). A shows representative gross image of LCA, RCA, and aortic arch. B-R . LCAs and RCAs were immunostained with markers of endothelial inflammation (Vcam1 and Icam1, B-D ); EndMT (Acta2, Snai1, and Cnn1, E-H ); EndIT (Cd68, C1qa, C1qb, and Lyz2, I-M ); and EndFT (Spp1, Lgals3, Trem2, and BODIPY, N-R ). B, E, I, and N show merged images of confetti and FIRE markers at low magnification (10X), while the rest show 40X images. Confetti signals show eGFP (green), YFP (green), and RFP (red). All FIRE markers are shown in white except for green BODIPY ( R ). White arrows indicate confetti + ECs co-expressing the FIRE markers. S-V. Percent confetti + ECs co-expressing each FIRE marker was quantified by a combined <t>Matlab</t> and ImageJ analysis. Confetti + ECs expressing markers of inflammation (Icam1 and Vcam1, S ); EndMT (Acta2, Cnn1, and Snai1, T ); EndIT (C1qa, C1qb, Lyz2, and Cd68, U ); and EndFT (Lgals3, Trem2, and Spp1, V ). Shown are mean ± SEM, each dot represents % of confetti + ECs coexpressing FIRE markers in each longitudinal section used for quantification (N=4 to 10 longitudinal sections for RCA; N=6 to 31 longitudinal sections for LCA). P values were calculated by 2-tailed unpaired Student t test with or without Welch’s correction for normal data and 2-tailed unpaired Mann-Whitney U test for non-normal data.
Custom Algorithm Developed R2023b, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/custom algorithm developed r2023b/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
custom algorithm developed r2023b - by Bioz Stars, 2026-03
90/100 stars
  Buy from Supplier
custom-developed step detection algorithms  (ActiGraph llc)
90
ActiGraph llc custom-developed step detection algorithms
EC-Confetti mice treated with d-flow and hypercholesterolemia at 4 weeks post-PCL (N=6 male and 15 female) were imaged macroscopically ( A ) and LCAs/RCAs were longitudinally sectioned, stained, imaged by fluorescence microscopy ( B-R ), and quantified ( S-V ). A shows representative gross image of LCA, RCA, and aortic arch. B-R . LCAs and RCAs were immunostained with markers of endothelial inflammation (Vcam1 and Icam1, B-D ); EndMT (Acta2, Snai1, and Cnn1, E-H ); EndIT (Cd68, C1qa, C1qb, and Lyz2, I-M ); and EndFT (Spp1, Lgals3, Trem2, and BODIPY, N-R ). B, E, I, and N show merged images of confetti and FIRE markers at low magnification (10X), while the rest show 40X images. Confetti signals show eGFP (green), YFP (green), and RFP (red). All FIRE markers are shown in white except for green BODIPY ( R ). White arrows indicate confetti + ECs co-expressing the FIRE markers. S-V. Percent confetti + ECs co-expressing each FIRE marker was quantified by a combined <t>Matlab</t> and ImageJ analysis. Confetti + ECs expressing markers of inflammation (Icam1 and Vcam1, S ); EndMT (Acta2, Cnn1, and Snai1, T ); EndIT (C1qa, C1qb, Lyz2, and Cd68, U ); and EndFT (Lgals3, Trem2, and Spp1, V ). Shown are mean ± SEM, each dot represents % of confetti + ECs coexpressing FIRE markers in each longitudinal section used for quantification (N=4 to 10 longitudinal sections for RCA; N=6 to 31 longitudinal sections for LCA). P values were calculated by 2-tailed unpaired Student t test with or without Welch’s correction for normal data and 2-tailed unpaired Mann-Whitney U test for non-normal data.
Custom Developed Step Detection Algorithms, supplied by ActiGraph llc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/custom-developed step detection algorithms/product/ActiGraph llc
Average 90 stars, based on 1 article reviews
custom-developed step detection algorithms - by Bioz Stars, 2026-03
90/100 stars
  Buy from Supplier
custom-developed algorithm matlab r2017a  (MathWorks Inc)
90
MathWorks Inc custom-developed algorithm matlab r2017a
EC-Confetti mice treated with d-flow and hypercholesterolemia at 4 weeks post-PCL (N=6 male and 15 female) were imaged macroscopically ( A ) and LCAs/RCAs were longitudinally sectioned, stained, imaged by fluorescence microscopy ( B-R ), and quantified ( S-V ). A shows representative gross image of LCA, RCA, and aortic arch. B-R . LCAs and RCAs were immunostained with markers of endothelial inflammation (Vcam1 and Icam1, B-D ); EndMT (Acta2, Snai1, and Cnn1, E-H ); EndIT (Cd68, C1qa, C1qb, and Lyz2, I-M ); and EndFT (Spp1, Lgals3, Trem2, and BODIPY, N-R ). B, E, I, and N show merged images of confetti and FIRE markers at low magnification (10X), while the rest show 40X images. Confetti signals show eGFP (green), YFP (green), and RFP (red). All FIRE markers are shown in white except for green BODIPY ( R ). White arrows indicate confetti + ECs co-expressing the FIRE markers. S-V. Percent confetti + ECs co-expressing each FIRE marker was quantified by a combined <t>Matlab</t> and ImageJ analysis. Confetti + ECs expressing markers of inflammation (Icam1 and Vcam1, S ); EndMT (Acta2, Cnn1, and Snai1, T ); EndIT (C1qa, C1qb, Lyz2, and Cd68, U ); and EndFT (Lgals3, Trem2, and Spp1, V ). Shown are mean ± SEM, each dot represents % of confetti + ECs coexpressing FIRE markers in each longitudinal section used for quantification (N=4 to 10 longitudinal sections for RCA; N=6 to 31 longitudinal sections for LCA). P values were calculated by 2-tailed unpaired Student t test with or without Welch’s correction for normal data and 2-tailed unpaired Mann-Whitney U test for non-normal data.
Custom Developed Algorithm Matlab R2017a, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/custom-developed algorithm matlab r2017a/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
custom-developed algorithm matlab r2017a - by Bioz Stars, 2026-03
90/100 stars
  Buy from Supplier
custom-developed algorithms in  (MathWorks Inc)
90
MathWorks Inc custom-developed algorithms in
EC-Confetti mice treated with d-flow and hypercholesterolemia at 4 weeks post-PCL (N=6 male and 15 female) were imaged macroscopically ( A ) and LCAs/RCAs were longitudinally sectioned, stained, imaged by fluorescence microscopy ( B-R ), and quantified ( S-V ). A shows representative gross image of LCA, RCA, and aortic arch. B-R . LCAs and RCAs were immunostained with markers of endothelial inflammation (Vcam1 and Icam1, B-D ); EndMT (Acta2, Snai1, and Cnn1, E-H ); EndIT (Cd68, C1qa, C1qb, and Lyz2, I-M ); and EndFT (Spp1, Lgals3, Trem2, and BODIPY, N-R ). B, E, I, and N show merged images of confetti and FIRE markers at low magnification (10X), while the rest show 40X images. Confetti signals show eGFP (green), YFP (green), and RFP (red). All FIRE markers are shown in white except for green BODIPY ( R ). White arrows indicate confetti + ECs co-expressing the FIRE markers. S-V. Percent confetti + ECs co-expressing each FIRE marker was quantified by a combined <t>Matlab</t> and ImageJ analysis. Confetti + ECs expressing markers of inflammation (Icam1 and Vcam1, S ); EndMT (Acta2, Cnn1, and Snai1, T ); EndIT (C1qa, C1qb, Lyz2, and Cd68, U ); and EndFT (Lgals3, Trem2, and Spp1, V ). Shown are mean ± SEM, each dot represents % of confetti + ECs coexpressing FIRE markers in each longitudinal section used for quantification (N=4 to 10 longitudinal sections for RCA; N=6 to 31 longitudinal sections for LCA). P values were calculated by 2-tailed unpaired Student t test with or without Welch’s correction for normal data and 2-tailed unpaired Mann-Whitney U test for non-normal data.
Custom Developed Algorithms In, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/custom-developed algorithms in/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
custom-developed algorithms in - by Bioz Stars, 2026-03
90/100 stars
  Buy from Supplier

Image Search Results


EC-Confetti mice treated with d-flow and hypercholesterolemia at 4 weeks post-PCL (N=6 male and 15 female) were imaged macroscopically ( A ) and LCAs/RCAs were longitudinally sectioned, stained, imaged by fluorescence microscopy ( B-R ), and quantified ( S-V ). A shows representative gross image of LCA, RCA, and aortic arch. B-R . LCAs and RCAs were immunostained with markers of endothelial inflammation (Vcam1 and Icam1, B-D ); EndMT (Acta2, Snai1, and Cnn1, E-H ); EndIT (Cd68, C1qa, C1qb, and Lyz2, I-M ); and EndFT (Spp1, Lgals3, Trem2, and BODIPY, N-R ). B, E, I, and N show merged images of confetti and FIRE markers at low magnification (10X), while the rest show 40X images. Confetti signals show eGFP (green), YFP (green), and RFP (red). All FIRE markers are shown in white except for green BODIPY ( R ). White arrows indicate confetti + ECs co-expressing the FIRE markers. S-V. Percent confetti + ECs co-expressing each FIRE marker was quantified by a combined Matlab and ImageJ analysis. Confetti + ECs expressing markers of inflammation (Icam1 and Vcam1, S ); EndMT (Acta2, Cnn1, and Snai1, T ); EndIT (C1qa, C1qb, Lyz2, and Cd68, U ); and EndFT (Lgals3, Trem2, and Spp1, V ). Shown are mean ± SEM, each dot represents % of confetti + ECs coexpressing FIRE markers in each longitudinal section used for quantification (N=4 to 10 longitudinal sections for RCA; N=6 to 31 longitudinal sections for LCA). P values were calculated by 2-tailed unpaired Student t test with or without Welch’s correction for normal data and 2-tailed unpaired Mann-Whitney U test for non-normal data.

Journal: bioRxiv

Article Title: Disturbed Flow Induces Reprogramming of Endothelial Cells to Immune-like and Foam Cells under Hypercholesterolemia during Atherogenesis

doi: 10.1101/2025.03.06.641843

Figure Lengend Snippet: EC-Confetti mice treated with d-flow and hypercholesterolemia at 4 weeks post-PCL (N=6 male and 15 female) were imaged macroscopically ( A ) and LCAs/RCAs were longitudinally sectioned, stained, imaged by fluorescence microscopy ( B-R ), and quantified ( S-V ). A shows representative gross image of LCA, RCA, and aortic arch. B-R . LCAs and RCAs were immunostained with markers of endothelial inflammation (Vcam1 and Icam1, B-D ); EndMT (Acta2, Snai1, and Cnn1, E-H ); EndIT (Cd68, C1qa, C1qb, and Lyz2, I-M ); and EndFT (Spp1, Lgals3, Trem2, and BODIPY, N-R ). B, E, I, and N show merged images of confetti and FIRE markers at low magnification (10X), while the rest show 40X images. Confetti signals show eGFP (green), YFP (green), and RFP (red). All FIRE markers are shown in white except for green BODIPY ( R ). White arrows indicate confetti + ECs co-expressing the FIRE markers. S-V. Percent confetti + ECs co-expressing each FIRE marker was quantified by a combined Matlab and ImageJ analysis. Confetti + ECs expressing markers of inflammation (Icam1 and Vcam1, S ); EndMT (Acta2, Cnn1, and Snai1, T ); EndIT (C1qa, C1qb, Lyz2, and Cd68, U ); and EndFT (Lgals3, Trem2, and Spp1, V ). Shown are mean ± SEM, each dot represents % of confetti + ECs coexpressing FIRE markers in each longitudinal section used for quantification (N=4 to 10 longitudinal sections for RCA; N=6 to 31 longitudinal sections for LCA). P values were calculated by 2-tailed unpaired Student t test with or without Welch’s correction for normal data and 2-tailed unpaired Mann-Whitney U test for non-normal data.

Article Snippet: To determine the proportion of confetti + ECs undergoing FIRE, multi-level image thresholding was performed via combined use of custom-developed MATLAB algorithms and ImageJ .

Techniques: Staining, Fluorescence, Microscopy, Expressing, Marker, MANN-WHITNEY